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Determinants of Mobile Telecommunication Adoption in Kurdistan

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Determinants of Mobile Telecommunication Adoption in Kurdistan International Journal of Communication 7 (2013), 2285–2311 1932–8036/20130005 Determinants of Mobile Telecommunication Adoption in Kurdistan NABAZ T. KHAYYAT1 Seoul National University ALMAS HESHMATI Sogang University This study analyzes Kurdistan’s potential for effectively using mobile telecommunication. It identifies key factors determining the adoption of mobile telecommunication service. A conceptual model is specified, and several hypotheses are tested with a sample of 1,458 Kurdish mobile phone users in 2010. A discrete choice methodology is used to test two models of mobile telecommunication acceptance: choice of service providers and usage pattern. The results indicate that Korek is the favorite service provider in the Kurdistan region of Iraq, and the subscribers mostly use the service for work purposes. The findings have implications for competition in the market and flows of investment resources to targeted market segments with potential expansion. Keywords: multinomial logit model, mobile telecommunication, technology adoption, service providers, Kurdistan, Iraq Introduction The Kurdistan Region is an autonomous region in federal Iraq that was cut off from all basic postal and telephone services after the first Gulf War in 1991. The region became dependent on satellite- based information and communication systems and services. The expansion and diffusion of these services have been rapid and promoted by the Kurdistan Regional Government (Khayyat, 2010; Khayyat & Heshmati, 2012). Cell phone and Internet connectivity and use have increased dramatically in recent years. In a short time, information and communication technology (ICT) has become one of the main interests of the Kurdistan government and business community. They have made significant inroads in both public and private sectors of Kurdish society by incorporating the new technologies into governance and business activities. Despite significant progress and public investment in the infrastructure, the Kurdistan region is 1 The authors wish to thank two anonymous referees and an editor of the journal for their very useful comments and suggestions on an earlier version of this manuscript and Soran University for financial support. Nabaz T. Khayyat: [email protected] Almas Heshmati: [email protected] Date submitted: 2012–01–31 Copyright © 2013 (Nabaz T. Khayyat & Almas Heshmati). Licensed under the Creative Commons Attribution Non-commercial No Derivatives (by-nc-nd). Available at http://ijoc.org. 2286 Nabaz T. Khayyat & Almas Heshmati International Journal of Communication 7(2013) a latecomer in the area of ICT because of political issues and economic, social, and cultural causes such as language barriers and lack of training and development programs. With a population of nearly 5.2 million—36% aged 0 to 14 years, 60% aged 15 to 64, and 4% over age 64—the diffusion rate in the telecom sector is between 75% and 78% (UNDP, 2004). The diffusion rate is lower than that of neighboring countries; for example. Kuwait and Saudi Arabia’s mobile penetration rate reached 150% by the end of 2012 (ITU, 2012). The three mobile phone operators with GSM licenses in Iraq and Kurdistan—Zain Iraq, AsiaCell, and Korek—are relatively new, and their rapid growth nationwide needs to be tracked and studied to derive the necessary policy implications for their business. The telecom sector in Iraq and Kurdistan has witnessed an average of 11.6% growth in the subscription rate, as the rate of subscription increased from 5% in 2005 to 75% in 2012. Zain Iraq has the largest share in the market with 53%, followed by AsiaCell with 31% and Korek with 16% (Marcopolis, 2012). The objective of this research is to study the factors that influence the adoption of mobile telecommunication service in Iraqi Kurdistan. Such measures are important for the telecommunication sector to serve customers’ needs and ensure business sustainability and economic growth. The direct contribution is to identify and estimate the factors that affect the adoption of mobile telecommunication service in the region—a developing area with little infrastructure for wired telephone and basic postal services after the first Gulf War in 1991. The results are useful to other regions with similar conditions. In addition to its insights for the management and regulation of the telecommunication sector, this study has significant potential for education and research in the region. Literature Review Mobile telecommunication services have changed people’s lifestyles by transforming and revolutionizing the way they work and interact. In addition, they have provided opportunities for a powerful communication medium to influence business and social life. Many studies have examined the adoption of mobile services and systems, and various models have been applied to predict customers’ intentions to use technological innovations (Alborz, 2009; AlHinai, Kurnia, & Johnston, 2007; Baker & Bellordre, 2003; Bouwman & van de Wijngaert, 2009; Carlsson, Hyvonen, Repo, & Walden, 2005; Coursaris, Hassanein, Head, & Bontis, 2007; Hong & Tam, 2006; Hsu, Lu, & Hsu, 2007; H. W. Kim, Chan, & Gupta, 2007; I. Lee, Choi, Kim, & Hong, 2007; Lu, Yao, & Yu, 2005; Park, Roman, Lee, & Chung, 2009; Sanford & Oh, 2010; Yang & Jolly, 2009). We rely on these theoretical models to determine the relevant factors that predict the intention to adopt a mobile phone. Among the most significant and applicable theories to study intentions to adopt mobile phone technology is the technology acceptance model (TAM) developed by Davis (1989). Other theories include the theory of reasoned action developed by Fishbein, I., and Belief (1975), and the theory of planned behavior by Ajzen (1991). Several studies rely on these three theories’ models in explaining the intention to adopt ICT systems (Venkatesh, Morris, Davis, & Davis, 2003). International Journal of Communication 7 (2013) Mobile Telecommunication in Kurdistan 2287 The Technology Acceptance Model The TAM was developed to explain potential users’ behavioral intentions in using technological innovation. It is based on the theory of reasoned action (Fishbein & Ajzen, 1975), in which attitudes that are influenced by beliefs form behavioral intentions. The TAM uses this causal sequence of belief–attitude– intention–behavior to understand the determinants of information technology acceptance, which then triggers actual behaviors (W. J. Lee, Kim, & Chung, 2002). The TAM describes the causal relationships between system design features, perceived usefulness, perceived ease of use, attitude toward using, and actual usage behavior. The TAM provides an informative representation of the mechanisms by which design choices influence user acceptance. Two key constructs are perceived usefulness and perceived ease of use. Perceived usefulness refers to the prospective user’s subjective notions about how much using a specific application system will increase his or her job performance in an organizational context, which relates to extrinsic characteristics such as efficiency and effectiveness. Perceived ease of use refers to the degree to which the prospective user expects the target system to be free of effort, which relates to intrinsic characteristics such as ease of use and flexibility. These two perceptions combine to affect the adoption of new technologies (Adams, Nelson, & Todd, 1992). External factors such as individual favorites or constraints resulting from certain situations also are expected to affect users’ acceptance of the technology when these factors are within the two key construct of perceived usefulness and perceived ease of use. According to King and He (2006), perceived usefulness might affect actual use irrespective of attitude if the use of the technology offers direct benefit to the user. Despite several studies confirming the robustness of the acceptance models, many scholars have identified some important limitations associated with using such models. Chuttur (2009) classified the criticism of the acceptance models into three categories: First, the methodology relies on self-reported use data instead of actual use data. This subjective measure is considered by some scholars unreliable for measuring the actual use of a system. Second, the variables and the relationships constructed in the acceptance models are limited in terms of their ability to be replicated. Many scholars have found that perceived usefulness has more influence on system acceptance than perceived ease of use. Therefore, these two sets of variables may not mediate all relevant influences from external environmental factors on the system usage. As a result, some external factors such as level of education and age also may have direct influences on system usage (Burton-Jones & Hubona, 2006). Finally, according to Bagozzi (2008), behavior cannot be considered as a terminal goal. He has argued that the acceptance models are deterministic and not suitable for explaining and predicting system usage. Bagozzi notes the need for a paradigm shift because of critical shortcomings in the paradigm. Bagozzi’s proposition was that there might be other factors that alter the dominant paradigm. Based on these theories, researchers have studied many aspects of mobile phone adoption, such as the effects of factors such as usefulness, ease of use, enjoyment of using a service, content and system quality, and impact of technical issues. Despite possible individual limitations but strong complementarities, the experience gained from the studies and their
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